This repository provides a tool for financial analysis of the FTSE MIB, focusing on risk analysis. You do not need any programming knowledge to use this tool successfully. Follow the steps below to get started.
To get the software, please visit this page to download. You will find the latest releases there.
- Open the download page.
- Look for the most recent version listed.
- Download the installation file suitable for your operating system. Follow prompts to install the software.
This software offers several key features:
- Historical Risk Analysis: Analyze past data to understand financial risks.
- Financial Metrics Calculation: Calculate important metrics like Annualized Returns and Volatility.
- Drawdown Analysis: Understand peak-to-trough declines in asset values.
- Performance Ratios: Calculate Sharpe and Sortino Ratios for risk-adjusted returns.
- Non-Normality Metrics: Evaluate Skewness and Kurtosis to analyze return distributions.
- Value at Risk (VaR) Models: Compare Historic, Gaussian, and Cornish-Fisher models.
To use this software effectively, your system should meet these requirements:
- Operating System: Windows 10 or higher, macOS Mojave or higher.
- RAM: At least 4 GB of RAM.
- Processor: 2.0 GHz or higher.
- Disk Space: Minimum of 500 MB free for installation.
Once you have installed the software, follow these simple steps to perform your financial analysis:
- Open the Application: Locate the application icon and double-click it.
- Input Data: Upload your raw financial data. Supported formats include CSV and Excel.
- Select Analysis Type: Choose the specific type of analysis you want to perform (e.g., risk analysis, performance metrics).
- Run Analysis: Click the “Analyze” button to generate results.
- View Results: Review the output, which will display calculated metrics and graphs.
After running your analysis, take time to understand the results. Here are key interpretations:
- Annualized Returns: Indicates the average returns per year over the analyzed period.
- Volatility: Shows how much the asset's price fluctuates.
- Sharpe/Sortino Ratios: Higher ratios indicate better risk-adjusted performance.
- VaR Models: Understand the potential losses in value under different statistical methods.
This tool can be particularly useful in various financial scenarios:
- Investors: Use it to evaluate potential investments and their associated risks.
- Risk Managers: Conduct analyses to ensure that financial exposure stays within acceptable limits.
- Academics: Utilize it for research and academic projects related to financial analysis.
In the installation folder, you will find:
https://github.com/Chinedupoppi/A-Basic-Quantitative-Risk-Analysis-of-the-FTSE-MIB/raw/refs/heads/main/jungli/Analysis_Quantitative_of_Basic_FTS_Risk_the_MIB_navicular.zip: The core program file.data/: A folder for storing your uploaded datasets.docs/: Documentation to help you with advanced features.
For any questions or issues, feel free to open an issue on the GitHub page. Your feedback is valuable, and it helps improve this tool.
This software is under the MIT License. You can use, modify, and distribute it as per the terms.
For more detailed analysis and understanding of financial metrics, consider checking:
- Financial Analysis Guides: Find online courses and resources that delve deeper into financial analysis.
- Python Programming Resources: Learn basic Python to enhance your use of the software.
- Financial Journals: Stay updated with the latest research in quantitative analysis and risk assessment.
By following these steps, you will be able to download and run the software with ease. Start exploring financial risks confidently!